Multivariable NARX Based Neural Networks Models for Short-Term Water Level Forecasting-Reference-Cited by-同舟云学术

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Multivariable NARX Based Neural Networks Models for Short-Term Water Level Forecasting

Published:2023-07-05 Issue: Volume: Page:
ISSN:
Container-title:ITISE 2023
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Author:

Renteria-Mena Jackson B.¹^ORCID,Plaza Douglas²^ORCID,Giraldo Eduardo³^ORCID

Affiliation:

1. Facultad de Ingeniería, Universidad Tecnológica Del Chocó, Quibdó 270001, Colombia

2. Facultad de Ingeniería en Electricidad y Computación, Escuela Superior Politécnica del Litoral, Guayaquil 090902, Ecuador

3. Research Group in Automatic Control, Electrical Engineering Department, Universidad Tecnológica de Pereira, Pereira 660003, Colombia

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/39/1/60/pdf

Reference22 articles.

1. Bras, R.L., and Rodriguez-Iturbe, I. (1993). Random Functions and Hydrology, Courier Corporation.

2. A system based on an artificial neural network of the second generation for decision support in especially significant situations;Palchevsky;J. Hydrol.,2023

3. Predicting of Runoff Using an Optimized SWAT-ANN: A Case Study;Lv;J. Hydrol. Reg. Stud.,2020

4. Flood forecasting within urban drainage systems using NARX neural network;Abbas;Water Sci. Technol.,2017

5. Le, X.H., Ho, H.V., Lee, G., and Jung, S. (2019). Application of long short-term memory (LSTM) neural network for flood forecasting. Water, 11.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multivariate Hydrological Modeling Based on Long Short-Term Memory Networks for Water Level Forecasting;Information;2024-06-15

2. Comparative Analysis of Nonlinear Methods for Multivariable Water Level Prediction: The Case Study of the Atrato River;Journal of Electrical and Computer Engineering;2024-01

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